Search
Close
Search
Advanced Search
Search Menu
AI Discovery Assistant

Extract

This editorial refers to ‘Nationwide analysis of the relationship between low ambient temperature and acute aortic dissection-related hospitalizations’, by K. Kato et al., https://doi.org/10.1093/eurjpc/zwae278.

It is changes that are chiefly responsible for diseases, especially the greatest changes, the violent alterations both in the seasons and in other things. But seasons which come on gradually are the safest.

Hippocrates.

Acute cardiovascular diseases (CVDs), namely acute myocardial infarction, takotsubo syndrome (TTS), ischaemic stroke, pulmonary embolism, and acute aortic dissection (AAD), appear to have specific chronobiological patterns (circadian, infradian, and seasonal) in their onset, with higher frequency in the morning, on Monday, and in the winter (except for TTS exhibits a summer preference).1–6

In this original research, Kato et al.7 analysed the association between AAD-related hospitalization and ambient temperature (AT) using data from the Japanese Registry of All Cardiac and Vascular Diseases Diagnostic Procedure Combination (JROAD-DPC), a large nationwide database, established by the Japanese Circulation Society. Using the International Classification of Disease (ICD)-10 diagnosis codes for AAD, data of 96 812 adult patients (mean age 71 ± 13 years; 55.6% males; 52.9% type A AAD, 47.1% type B AAD) admitted to 1119 Japanese hospitals between 2012 and 2020 were analysed.7 AT and meteorological data were obtained from the Japan Meteorological Agency and air pollution data [as fine particle matter (PM2.5) and nitrogen dioxide (NO2) concentrations] from the National Institute of Environmental Studies. Data were analysed using a time-stratified case-crossover study design.7 A distributed lag non-linear model was incorporated into the conditional logistic regression model to examine the possible lagged associations between AT and AAD-related hospitalization.7 The exposure–response curve between AT and AAD-related hospitalization showed an increase in the odds ratio for lower temperatures, with a peak at time −10°C (odds ratio: 2.28, 95% confidence interval: 1.92–2.71, compared with that at 20°C). The effects of AT on lag days 0 and 1 were also significant. Stratified analyses showed a greater association between AT and AAD-related hospitalization for the following variables: older age (≥75 years), female sex (44.4%, the mean age ± SD was 76 ± 12 years), low body mass index (low body mass index <22), winter season, and warmer regions.7

Issue Section:
INVITED EDITORIAL
You do not currently have access to this article.
Download all slides

Comments

0 Comments
Comments (0)
Submit a comment
You have entered an invalid code
Thank you for submitting a comment on this article. Your comment will be reviewed and published at the journal's discretion. Please check for further notifications by email.